Why E-Commerce Startups Fail: can machine learning provide solution?

Startups Fail


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Authors

  • Mona Yadegar UCSI University, Malaysia.

DOI:

https://doi.org/10.70447/ktve.2753

Keywords:

e-commerce, failure, informatics, XGBost, ML

Abstract

E-commerce has transformed how businesses operate, providing customers with convenience and companies with access to global markets. However, despite its vast potential, many e-commerce initiatives have failed due to either external conditions such as local or global market fluctuations or internal conditions such as a mixture of poor planning, financial mismanagement, operational inefficiencies, and cybersecurity risks. Focusing on the market fluctuations which is a key component for external conditions. A simulative dataset that mimics real-world market conditions is used to present contribution of machine learning to decision making stages. The usage of informatics could help mitigate these risks by improving decision-making, security, and operational efficiency, and in turn could prevented many of the failures.

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Published

05.04.2025

How to Cite

Yadegar, M. (2025). Why E-Commerce Startups Fail: can machine learning provide solution? Startups Fail. Kuantum Teknolojileri Ve Enformatik Araştırmaları Dergisi, 3(1). https://doi.org/10.70447/ktve.2753

Issue

Vol. 3 No. 1 (2025): Journal of Quantum Technologies and Informatics Research

Section

Review Article

Categories

License

Copyright (c) 2025 Mona Yadegar

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